2_ReportBeaudoinModellingResults
L Leston
29/04/2020
Model coefficients for the best N-mixture model predicting abundance of Alder Flycatcher Empidonax alnorum from satellite-based data at the 50-m scale (AIC= 160.34) (A), 150-m scale (AIC= 162.19) (B), and 500-m scale (AIC= 165.38) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of American Robin Turdus migratorius from satellite-based data at the 50-m scale (AIC= 291.12) (A), 150-m scale (AIC= 289.69) (B), and 500-m scale (AIC= 282.86) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Boreal Chickadee Poecile hudsonicus from satellite-based data at the 50-m scale (AIC= 139.85) (A), 150-m scale (AIC= 141.04) (B), and 500-m scale (AIC= 135.83) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Cedar Waxwing Bombycilla cedrorum from satellite-based data at the 50-m scale (AIC= 126.43) (A), 150-m scale (AIC= 126.43) (B), and 500-m scale (AIC= 126.43) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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CF
Model coefficients for the best N-mixture model predicting abundance of Chipping Sparrow Spizella passerina from satellite-based data at the 50-m scale (AIC= 578.98) (A), 150-m scale (AIC= 576.92) (B), and 500-m scale (AIC= 573) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Common Yellowthroat Geothlypis trichas from satellite-based data at the 50-m scale (AIC= 124.84) (A), 150-m scale (AIC= 123.88) (B), and 500-m scale (AIC= 120) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Dark-eyed Junco Junco hyemalis from satellite-based data at the 50-m scale (AIC= 436.37) (A), 150-m scale (AIC= 438.02) (B), and 500-m scale (AIC= 443) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Gray Jay Perisoreus canadensis from satellite-based data at the 50-m scale (AIC= 460.21) (A), 150-m scale (AIC= 462.02) (B), and 500-m scale (AIC= 461.91) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Hermit Thrush Catharus guttatus from satellite-based data at the 50-m scale (AIC= 694.13) (A), 150-m scale (AIC= 696.2) (B), and 500-m scale (AIC= 688.84) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Le Conte’s Sparrow Ammodramus lecontei from satellite-based data at the 50-m scale (AIC= 238.75) (A), 150-m scale (AIC= 240.94) (B), and 500-m scale (AIC= 241.94) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Lincoln’s Sparrow Melospiza lincolnii from satellite-based data at the 50-m scale (AIC= 469.21) (A), 150-m scale (AIC= 465.2) (B), and 500-m scale (AIC= 465.87) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Olive-sided Flycatcher Contopus cooperi from satellite-based data at the 50-m scale (AIC= 153.33) (A), 150-m scale (AIC= 148.27) (B), and 500-m scale (AIC= 130.55) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Ovenbird Seiurus aurocapillus from satellite-based data at the 50-m scale (AIC= 337.23) (A), 150-m scale (AIC= 338.74) (B), and 500-m scale (AIC= 334.09) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Palm Warbler Setophaga palmarum from satellite-based data at the 50-m scale (AIC= 166.13) (A), 150-m scale (AIC= 165.04) (B), and 500-m scale (AIC= 164.33) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Red-eyed Vireo Vireo olivaceus from satellite-based data at the 50-m scale (AIC= 286.47) (A), 150-m scale (AIC= 286.96) (B), and 500-m scale (AIC= 280.83) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Ruby-crowned Kinglet Regulus calendula from satellite-based data at the 50-m scale (AIC= 362.17) (A), 150-m scale (AIC= 362.83) (B), and 500-m scale (AIC= 357.62) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Swainson’s Thrush Catharus ustulatus from satellite-based data at the 50-m scale (AIC= 656.31) (A), 150-m scale (AIC= 654.1) (B), and 500-m scale (AIC= 657.54) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Swamp Sparrow Melospiza georgiana from satellite-based data at the 50-m scale (AIC= 143.31) (A), 150-m scale (AIC= 139.33) (B), and 500-m scale (AIC= 139.77) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Tennessee Warbler Leiothlypis peregrina from satellite-based data at the 50-m scale (AIC= 327.76) (A), 150-m scale (AIC= 326.37) (B), and 500-m scale (AIC= 322.11) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Winter Wren Troglodytes hiemalis from satellite-based data at the 50-m scale (AIC= 273.12) (A), 150-m scale (AIC= 272.44) (B), and 500-m scale (AIC= 269.42) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of White-throated Sparrow Zonotrichia albicollis from satellite-based data at the 50-m scale (AIC= 327.4) (A), 150-m scale (AIC= 326.85) (B), and 500-m scale (AIC= 312.28) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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Model coefficients for the best N-mixture model predicting abundance of Yellow-rumped Warbler Setophaga coronata from satellite-based data at the 50-m scale (AIC= 679.02) (A), 150-m scale (AIC= 680.76) (B), and 500-m scale (AIC= 683.36) (C), along with predicted abundances of this species in the Kirby grid from these respective models (D-F).
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